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Some Techniques for Finding the Search Direction in Nonsmooth Minimization Problems

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Part of the book series: Ettore Majorana International Science Series ((EMISS,volume 43))

Abstract

In the last decades the efforts of an increasing number of researchers have led to the development of a wide range of numerical methods for finding the minima of nonsmooth functions of several variables. Even though the proposed methods share convex analysis as their common theoretical background, they stem from diverse approaches, frequently grounded on heuristic intuitions.

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© 1989 Springer Science+Business Media New York

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Gaudioso, M., Monaco, M.F. (1989). Some Techniques for Finding the Search Direction in Nonsmooth Minimization Problems. In: Clarke, F.H., Dem’yanov, V.F., Giannessi, F. (eds) Nonsmooth Optimization and Related Topics. Ettore Majorana International Science Series, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6019-4_10

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  • DOI: https://doi.org/10.1007/978-1-4757-6019-4_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-6021-7

  • Online ISBN: 978-1-4757-6019-4

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